Abstract
In cognitive radio networks, secondary users (SUs) face two conflicting objectives. Each SU seeks to minimize the sensing duration while maximizing the detection probability of primary users (PU) to avoid interfering with their transmissions. Both objectives have a substantial effect on energy efficiency. This paper investigates a noncooperative setting for selecting the sensing duration when multiple SUs operate in the same network. Here, each SU has a certain throughput requirement. The interaction among SUs is captured via a satisfaction strategic game with explicitly stated throughput demands. We prove that depending on the throughput requirements, either zero, one or two Satisfaction Equilibria (SE) exist. We then provide a fully distributed learning algorithm (SELA) to discover them. Extensive simulation results show the validity of the proposed SELA and illustrate the relationship between the throughput demand and the sensing duration.
| Original language | English (US) |
|---|---|
| Title of host publication | 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509013289 |
| DOIs | |
| State | Published - Feb 2 2017 |
| Event | 59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States Duration: Dec 4 2016 → Dec 8 2016 |
Other
| Other | 59th IEEE Global Communications Conference, GLOBECOM 2016 |
|---|---|
| Country | United States |
| City | Washington |
| Period | 12/4/16 → 12/8/16 |
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ASJC Scopus subject areas
- Computational Theory and Mathematics
- Computer Networks and Communications
- Hardware and Architecture
- Safety, Risk, Reliability and Quality
Cite this
Towards a strategic satisfactory sensing for QoS self-provisioning in cognitive radio networks. / Koulali, Mohammed Amine; Sabir, Essaid; Ghogho, Mounir; Krunz, Marwan M.
2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7842338.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Towards a strategic satisfactory sensing for QoS self-provisioning in cognitive radio networks
AU - Koulali, Mohammed Amine
AU - Sabir, Essaid
AU - Ghogho, Mounir
AU - Krunz, Marwan M
PY - 2017/2/2
Y1 - 2017/2/2
N2 - In cognitive radio networks, secondary users (SUs) face two conflicting objectives. Each SU seeks to minimize the sensing duration while maximizing the detection probability of primary users (PU) to avoid interfering with their transmissions. Both objectives have a substantial effect on energy efficiency. This paper investigates a noncooperative setting for selecting the sensing duration when multiple SUs operate in the same network. Here, each SU has a certain throughput requirement. The interaction among SUs is captured via a satisfaction strategic game with explicitly stated throughput demands. We prove that depending on the throughput requirements, either zero, one or two Satisfaction Equilibria (SE) exist. We then provide a fully distributed learning algorithm (SELA) to discover them. Extensive simulation results show the validity of the proposed SELA and illustrate the relationship between the throughput demand and the sensing duration.
AB - In cognitive radio networks, secondary users (SUs) face two conflicting objectives. Each SU seeks to minimize the sensing duration while maximizing the detection probability of primary users (PU) to avoid interfering with their transmissions. Both objectives have a substantial effect on energy efficiency. This paper investigates a noncooperative setting for selecting the sensing duration when multiple SUs operate in the same network. Here, each SU has a certain throughput requirement. The interaction among SUs is captured via a satisfaction strategic game with explicitly stated throughput demands. We prove that depending on the throughput requirements, either zero, one or two Satisfaction Equilibria (SE) exist. We then provide a fully distributed learning algorithm (SELA) to discover them. Extensive simulation results show the validity of the proposed SELA and illustrate the relationship between the throughput demand and the sensing duration.
UR - http://www.scopus.com/inward/record.url?scp=85015420101&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015420101&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2016.7842338
DO - 10.1109/GLOCOM.2016.7842338
M3 - Conference contribution
AN - SCOPUS:85015420101
BT - 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -